The short answer: if the work you are replacing is deep and crosses many sources, external and internal, AllMind AI is the competitor to look at first, because it holds licensed market data, Expert Insights, entitled broker research and the firm's own systems in one entity map that agents traverse for hours at a stretch. AlphaSense competes in four markets at once, though, and the right rival depends on which of them you lean on: Bloomberg, FactSet, S&P Global Capital IQ Pro and LSEG Workspace in search; Third Bridge, GLG, Guidepoint and Quartr in expert calls, a market AlphaSense entered as an owner by buying Tegus in 2024; Hebbia and Rogo alongside us in AI research work; Fiscal.ai and Koyfin at the self-serve end.

Who this is for: heads of research and market-data teams sizing up the category, vendor-selection committees, and analysts who want to know who else is in the room before a renewal conversation.

Published August 20, 2026. Last reviewed August 21, 2026. Written by the AllMind AI research team.

Disclosure: AllMind AI builds one of the platforms mapped here. We compete with AlphaSense mainly in the AI research segment, we do not sell expert calls as a standalone library, and the section on where it still leads is written accordingly. Nobody paid for placement.

Key takeaways

• AlphaSense enters the second half of 2026 as the best-capitalized company in the category. The company announced a June 2026 round valuing it at roughly $7.5 billion.
• Its expert-content position was bought, not grown. The Tegus acquisition in 2024, publicly reported at $930 million, moved AlphaSense from reselling expert calls to owning a library, and put it opposite Third Bridge, GLG and Guidepoint.
• The newest competition is over finished output. Rogo announced a $160 million Series D led by Kleiner Perkins on April 29, 2026, a round Bloomberg and others reported as valuing it near $2 billion.
• The independent specialist tier is thinning. Microsoft acquired Fintool in April 2026, and Brightwave's own site described the company in August 2026 as an agent infrastructure business.
• Nobody replaces AlphaSense in one purchase. Buyers displace one segment at a time, so the question is which of its four businesses your team leans on.

Best AlphaSense competitors in 2026: the segment map

The best AlphaSense competitors in 2026 split by segment: Bloomberg, FactSet, S&P Global Capital IQ Pro and LSEG Workspace in search, Third Bridge, GLG and Guidepoint in expert content, AllMind AI, Hebbia and Rogo in AI research work, and Fiscal.ai and Koyfin at the self-serve end. The table splits the company into five segments and names the weakness each challenger carries into that fight.

Two companion pages take the buyer's view: the seven best AlphaSense alternatives ranks the shortlist, and what teams rebuild when they leave AlphaSense covers the migration.

What businesses does AlphaSense compete in?

AlphaSense sells one subscription that behaves like four products, which is why its competitor set looks scattered. A team usually leans on one or two of the four and pays for all of them, which is what makes the split worth naming before a renewal.

• Search and monitoring over filings, transcripts, news, presentations and licensed broker research, with saved searches and alerts. The original business, and still the reason most seats exist.
• Expert content, owned since the Tegus purchase in 2024 at a publicly reported $930 million, sold as a transcript library with scheduled calls on top.
• Enterprise intelligence, an upper tier that indexes a firm's own documents from SharePoint, Box and Drive so internal notes appear beside external content.
• AI output, the newest line. PowerPoint and Excel add-ins promoted on the company's own site in August 2026 drop AlphaSense material straight into the deliverable.

Scale gives it staying power across all four. The company's own site claimed more than 500 million premium documents and over 7,000 enterprise customers as of August 2026.

Which AI-native platforms compete with AlphaSense?

AllMind AI, Hebbia and Rogo are the AI-native platforms competing with AlphaSense, and they compete on the deliverable instead of the document list. Each takes a different slice: living coverage, document interrogation and deal output. We build the first, so the criticisms below are the ones we hear in evaluations.

AllMind AI

AllMind AI is the entry on this list that comes closest to covering the whole AlphaSense workflow. The difference against it is architectural: a search index ranks documents, while an ontology holds companies, suppliers, customers, estimates, filings and the firm's own research as connected entities that an agent walks.

Where it wins: the contest starts after retrieval, on work that runs long. A question about a coverage name resolves against the entity map, so a supplier link, a consensus revision, last week's broker note and a passage from the prior MD&A come back joined, each figure opening the passage it was read from. Three things sit behind that:

• Breadth stated as classes. 6,800+ premium datasets covering S&P, FactSet, LSEG and MSCI data, Expert Insights, entitled broker research, global investor-relations material, live earnings and financials within minutes of a print, alternative data, and sector-specific coverage for industries such as mining, healthcare and consumer staples.
• The firm's own material on the same map. Internal dashboards and systems, an API, the document store holding prior notes and models, or a warehouse in Snowflake, Databricks or S3 reached through a scoped IAM role and queried in place with nothing copied out. AlphaSense indexes internal files in its Enterprise Intelligence tier; here a firm's positions, models and memos become entities in the same graph as the licensed content instead of a second search scope.
• Work measured in hours, not turns. Agents run for minutes, hours or across days over many data points, which is the shape of an initiation, a diligence pass or a full coverage-list monitoring run. Banks, hedge funds and top Fortune 500 and Fortune 100 corporates run workflows of that size, and some teams have consolidated several subscriptions onto one system in the process.

Entitlements follow the person, agents inherit them and cannot widen them, and every question and export is logged. Our head-to-head is AllMind AI vs AlphaSense; the ontology page covers the structure.

Where it falls short: on AlphaSense's strongest ground we are not the same product. It owns the Tegus corpus outright, so a desk whose whole process is transcript volume should price that library first. Expert Insights transcripts are built into the subscription here and mapped to the companies they discuss, so the gap against AlphaSense is library scale, not access. We are also not self-serve: connecting internal systems starts with your data team agreeing what to expose, not with a signup form. Headcount does not decide the fit either: boutiques and single-PM funds are among the strongest cases, since the whole research load sits on one system instead of being split across several.

Hebbia

Hebbia sells Matrix, a grid interface that runs the same question down a column across hundreds of documents and shows the passage behind each answer.

Where it wins: private-markets and credit teams put a data room or fifty filings into a grid and get a structured answer set in an afternoon, evidence attached. Public reporting through 2026 places large asset managers and alternatives firms on its customer list.

Where it falls short: Hebbia brings almost no market or expert data of its own, so the universe is whatever the team loads. A counterparty absent from your documents is absent from the answer, and there is no broker research or call library behind it. Our comparison is at AllMind AI vs Hebbia.

Rogo

Rogo is an agentic platform for investment banking and private equity deliverables, running comps, drafting memos and building pitch materials in house format.

Where it wins: the Series D announced on April 29, 2026, $160 million led by Kleiner Perkins, was raised on finished output; Bloomberg and Dealroom reported a valuation near $2 billion, a number Rogo itself did not state. At a bank that has deployed it, the work product lands close enough to house style that a junior edits instead of builds.

Where it falls short: deal work has a start and an end; coverage does not. Maintaining a name through eight quarters and publishing after every print is a different loop. Rogo owns no expert or broker content either, so it meets AlphaSense on output alone. See AllMind AI vs Rogo.

Brightwave, repositioned

Brightwave launched as an AI research agent writing long-form thematic briefs, and was good at the multi-page read most tools compress into bullets. By August 2026 its own site described the company as an agent infrastructure business, which takes an independent name off the research shortlist. Anyone still evaluating it should ask what is sold and supported for research buyers today.

Which terminals and data platforms compete with AlphaSense?

Bloomberg, FactSet, S&P Global Capital IQ Pro and LSEG Workspace compete with AlphaSense in search and monitoring from a position of ownership: they sell the underlying data AlphaSense mostly licenses. What they lack is its breadth of documents and its cross-source search.

• Bloomberg is the widest overlap. The Terminal already carries news, filings, transcripts and the AskB assistant, and desks paying a seat publicly reported at roughly $30,000 to $32,000 a year resist a second search subscription. The assistant stays inside the Terminal, which is where the comparison ends for teams that want output in their own systems.
• FactSet competes through workstation search and its document layer, priced by custom quote with no seat price the company publishes, which leaves every circulating seat figure a third-party estimate. Its AI features live inside terminal screens, so the work leaves the platform to become a note.
• S&P Global Capital IQ Pro holds the deeper company and transactions store, which matters most for private-company and deal work, and it keeps adding assistant features to the terminal.
• LSEG Workspace competes on multi-asset breadth at seat pricing publicly reported at roughly $10,000 to $22,000 a year, and it is a data partner to several of the AI platforms above, including ours.

A useful renewal exercise: name the one seat you would keep, then account for what each of the others does in a normal week. The checklist for that is in how to evaluate AI vendors for institutional investment teams.

Who competes with AlphaSense for expert calls and transcripts?

Third Bridge, GLG, Guidepoint and Quartr compete with AlphaSense for expert calls and transcripts. What changed in 2024 is that AlphaSense switched sides: it used to distribute expert content, and after buying Tegus it owns a library and meets the networks head on.

• Third Bridge is the nearest match to what Tegus was, a subscription library of interview transcripts with a scheduled-call business attached. Our page on Third Bridge alternatives and expert insights goes through the trade-offs.
• GLG is among the largest networks by expert count and the usual first call when the person you need has never been interviewed.
• Guidepoint sits between the two, running survey and data products alongside its call business.
• Quartr competes at the free and low-cost end for earnings calls and slides, winning on speed and global coverage, not on proprietary interviews.

Networks price by the call, a different budget line from a seat subscription. The structural point: a large share of the recorded expert corpus now sits with one search vendor, so the leverage a fund had when several distributors resold the same interviews has weakened.

How is the competition with AlphaSense shifting in 2026?

Four shifts are visible in the public record this year, and each one moves the fight further from search.

1. Capital concentrated at the top. The two largest publicly reported raises in the category went to AlphaSense in June 2026 and Rogo in April 2026, one defending content and one selling finished work.
2. Consolidation reached the specialists. Microsoft acquired Fintool in April 2026, taking a filings-first assistant off the market as a standalone purchase, and Brightwave's public positioning changed during the year.
3. The incumbent moved onto the challengers' ground. Putting AlphaSense output directly into PowerPoint and Excel produces the artifact a search result used to feed.
4. Entitlements became a competitive dimension. Once agents began acting on behalf of users, what an agent is allowed to read stopped being a security footnote and became part of the demo.

Two expectations for 2027, stated so they can be checked later:

• The search-only tier keeps compressing, because any vendor whose output stops at a citation list will be asked why the deliverable is still manual.
• Seat consolidation favors whichever system holds a firm's own research beside licensed content, since that pairing is the one no outside vendor can assemble for you.

Where does AlphaSense still lead?

AlphaSense leads on owned content and on the breadth of a single search box, and both are hard to copy. Its expert library exists because Tegus spent years recording interviews and AlphaSense paid a publicly reported $930 million for the result in 2024. Licensed broker research from a long contributor roster is the second asset, built through relationships that take years to sign.

It also leads on one specific job: finding every mention of a thing across a very large corpus quickly, with alerts on top. For a corporate strategy or competitive-intelligence team that job is most of the work, and no ontology or agent layer changes the answer. A team whose complaint is that it reads too slowly usually does better staying and using the alerting properly.

Which AlphaSense competitor fits which buyer?

Match the competitor to the segment your team leans on. The vendor with the loudest 2026 may be selling into a business you never touch.

• Buy-side research team producing notes, models and monitoring: AllMind AI, for the entity map, entitled content, internal systems and drafting agents in one governed workspace.
• Private equity, credit or diligence team working a document set: Hebbia, for grid extraction with evidence attached.
• Investment bank or sponsor coverage group: Rogo, for deliverables in house format.
• Desk that needs live markets first: Bloomberg, FactSet or LSEG, where search is a feature of a seat you already hold.
• Fund whose real dependency is expert interviews: Third Bridge, GLG or Guidepoint, priced by the call.
• Individual analyst or self-directed investor: Fiscal.ai for fundamentals with a citing copilot, or Koyfin for screening and charts at published plans in the hundreds of dollars a year.
• Corporate strategy and competitive intelligence: AlphaSense, still the strongest single answer.

Frequently Asked Questions

Who are AlphaSense's biggest competitors in 2026?

AlphaSense meets a different set of rivals in each of its businesses. Bloomberg, FactSet, S&P Global Capital IQ Pro and LSEG Workspace compete for market-intelligence search and broker research. Third Bridge, GLG and Guidepoint compete for expert calls. AllMind AI, Hebbia and Rogo compete for the research work that starts after the search ends.

Is AlphaSense still the market leader in market intelligence?

On the figures each company publishes, yes. AlphaSense announced a funding round in June 2026 that valued the company at about $7.5 billion, and the company's own site claimed more than 500 million premium documents and 7,000 plus enterprise customers as of August 2026. Its lead is thinnest in AI research workflow, where newer systems finish the model, the memo or the monitoring run instead of stopping at a summary.

Which AlphaSense competitor is best for expert call transcripts?

Third Bridge is the closest substitute for a subscription library plus scheduled calls, and GLG and Guidepoint are the larger networks for custom expert sourcing. AlphaSense became a library owner itself when it bought Tegus in 2024 at a publicly reported $930 million, so the comparison is now library against library. Teams that want expert content sitting inside a research system use a platform such as AllMind AI, where Expert Insights transcripts are built in, and keep a network relationship separate for custom calls.

What is the best AlphaSense competitor for a buy-side research team?

For a buy-side team whose bottleneck is producing work rather than finding documents, AllMind AI is the closest competitor, because the entity map, the entitled content and the drafting agents sit in one governed workspace with passage-level citations. Hebbia fits better when the job is bulk extraction across a document set the team supplies. Bloomberg or FactSet stay the answer when live market data is the daily need.

Did AlphaSense buy Tegus, and what did that change for competitors?

Yes. AlphaSense acquired Tegus in 2024 at a publicly reported $930 million, which turned it from a distributor of expert content into the owner of one of the largest interview libraries in the market. That put AlphaSense in direct competition with Third Bridge, GLG and Guidepoint, and raised the bar for how much expert content an AI research platform is expected to carry.

AllMind AI is the AI-native research platform for institutional equity teams. If you want proof on your own work, send us the workflow you want tested.